Atakpo Paul, Vassar Matt
Oklahoma State University Center for Health Sciences, United States.
Office of Institutional Research and Analytics, Oklahoma State University Center for Health Sciences, United States.
J Dermatol Sci. 2016 May;82(2):69-74. doi: 10.1016/j.jdermsci.2016.02.005. Epub 2016 Feb 24.
Systematic reviews and meta-analyses in dermatology provide high-level evidence for clinicians and policy makers that influence clinical decision making and treatment guidelines. One methodological problem with systematic reviews is the under representation of unpublished studies. This problem is due in part to publication bias. Omission of statistically non-significant data from meta-analyses may result in overestimation of treatment effect sizes which may lead to clinical consequences. Our goal was to assess whether systematic reviewers in dermatology evaluate and report publication bias. Further, we wanted to conduct our own evaluation of publication bias on meta-analyses that failed to do so. Our study considered systematic reviews and meta-analyses from ten dermatology journals from 2006 to 2016. A PubMed search was conducted, and all full-text articles that met our inclusion criteria were retrieved and coded by the primary author. 293 articles were included in our analysis. Additionally, we formally evaluated publication bias in meta-analyses that failed to do so using trim and fill and cumulative meta-analysis by precision methods. Publication bias was mentioned in 107 articles (36.5%) and was formally evaluated in 64 articles (21.8%). Visual inspection of a funnel plot was the most common method of evaluating publication bias. Publication bias was present in 45 articles (15.3%), not present in 57 articles (19.5%) and not determined in 191 articles (65.2%). Using the trim and fill method, 7 meta-analyses (33.33%) showed evidence of publication bias. Although the trim and fill method only found evidence of publication bias in 7 meta-analyses, the cumulative meta-analysis by precision method found evidence of publication bias in 15 meta-analyses (71.4%). Many of the reviews in our study did not mention or evaluate publication bias. Further, of the 42 articles that stated following PRISMA reporting guidelines, 19 (45.2%) evaluated for publication bias. In comparison to other studies, we found that systematic reviews in dermatology were less likely to evaluate for publication bias. Evaluating and reporting the likelihood of publication bias should be standard practice in systematic reviews when appropriate.
皮肤科的系统评价和荟萃分析为临床医生和政策制定者提供了高级别的证据,这些证据会影响临床决策和治疗指南。系统评价的一个方法学问题是未发表研究的代表性不足。这个问题部分归因于发表偏倚。荟萃分析中遗漏统计学上无显著意义的数据可能导致对治疗效应大小的高估,这可能会产生临床后果。我们的目标是评估皮肤科的系统评价者是否评估并报告发表偏倚。此外,我们想对未这样做的荟萃分析进行我们自己的发表偏倚评估。我们的研究纳入了2006年至2016年来自十本皮肤科杂志的系统评价和荟萃分析。进行了PubMed检索,所有符合纳入标准的全文文章由第一作者检索并编码。293篇文章纳入我们的分析。此外,我们使用修剪填充法和按精确方法进行的累积荟萃分析,对未这样做的荟萃分析正式评估发表偏倚。107篇文章(36.5%)提到了发表偏倚,64篇文章(21.8%)对其进行了正式评估。漏斗图的直观检查是评估发表偏倚最常用的方法。45篇文章(15.3%)存在发表偏倚,57篇文章(19.5%)不存在发表偏倚,191篇文章(65.2%)未确定是否存在发表偏倚。使用修剪填充法,7项荟萃分析(33.33%)显示有发表偏倚的证据。虽然修剪填充法仅在7项荟萃分析中发现了发表偏倚的证据,但按精确方法进行的累积荟萃分析在15项荟萃分析(71.4%)中发现了发表偏倚的证据。我们研究中的许多综述未提及或评估发表偏倚。此外,在42篇声明遵循PRISMA报告指南的文章中,19篇(45.2%)评估了发表偏倚。与其他研究相比,我们发现皮肤科的系统评价评估发表偏倚的可能性较小。在适当的时候,评估并报告发表偏倚的可能性应该是系统评价的标准做法。